Application of Weighted Gene Co-Expression Network Analysis to Explore the Key Genes in Alzheimer’s Disease

BACKGROUND: Weighted co-expression network analysis (WGCNA) is a powerful systems biology method to describe the correlation of gene expression based on the microarray database, which can be used to facilitate the discovery of therapeutic targets or candidate biomarkers in diseases. OBJECTIVE: To ex...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:J Alzheimers Dis
Päätekijät: Liang, Jia-Wei, Fang, Zheng-Yu, Huang, Yong, Liuyang, Zhen-yu, Zhang, Xiao-Lin, Wang, Jing-Lin, Wei, Hui, Wang, Jian-Zhi, Wang, Xiao-Chuan, Zeng, Ji, Liu, Rong
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IOS Press 2018
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6218130/
https://ncbi.nlm.nih.gov/pubmed/30124448
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-180400
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